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Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering
Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering
Three parameter metrics in the presence of a scalar field in four and higher dimensions
Wear Prediction of Rock Drill Bits Based on Geomechanical Properties of Rocks
Investigating the temperature distribution behavior and flow parameters of argon fluid in a nanochannel with changing dimensions of the obstacle using the molecular dynamics (MD) method
Investigating the temperature distribution behavior and flow parameters of argon fluid in a nanochannel with changing dimensions of the obstacle using the molecular dynamics (MD) method
A new approach of ensemble learning in fully automated identification of structural modal parameters of concrete gravity dams: A case study of the Koyna dam
Disturbance observer-based model predictive control of a coaxialoctorotor with variable centre of gravity
Disturbance observer-based model predictive control of a coaxialoctorotor with variable centre of gravity
Research on hot deformation behavior and constitutive model to predict flow stress of an annealed FeCrCuNi2Mn2 high-entropy alloy
Research on hot deformation behavior and constitutive model to predict flow stress of an annealed FeCrCuNi2Mn2 high-entropy alloy
Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
Proposing new models to predict pile set-up in cohesive soils
AN OPTIMAL HYBRID Bi-COMPONENT SERIES-PARALLEL STRUCTURE FOR TIME SERIES FORECASTING